ASTRO Expert Theater Sessions

The ASTRO Expert Theater sessions will highlight new technologies, digital health innovation and informatics, artificial intelligence, entrepreneurship and more. This space will be used by attendees and industry representatives for interactive idea sharing, networking, imaginative business solutions and brainstorming sessions that will transform the industry.

Session 1: Help Ukraine!

Sunday, October 23 | 2:00 p.m. - 3:00 p.m.

Robert Miller, MD, MBA, FRSA, FRSM, FASTRO, Mayo Clinic

Topic Speaker(s)
Situation in RT in Ukraine Current Needs Ruslan Zelinskyi, President of Ukrainian Association of Medical Physicist
SAFER Ukraine Program on Evacuating Pediatric Patients Asya Agunlnik, MD, St. Jude
Support Efforts of Ukrainians in US Roman Kowlachuk, MD, Mayo Clinic
Call for Action and Practical Ways to Help Ukraine Nataliya Kovalchuk, PhD, Stanford University
Session 2: Digital Twins for Radiation Oncology: Concepts, Methods and Applications

Monday, October 24 | 2:00 p.m. - 3:00 p.m.

Jun Deng, PhD, FASTRO, Yale University

Topic Speaker(s)
Digital Twins for Predictive Radiation Oncology Evangelia Katsoulakis, MD, James A. Haley
Multimodal Data Curation for Digital Twins Tanveer Syeda-Mahmood, PhD, IBM
Multiscale Modeling for Digital Twins Qi Wang, PhD, University of South Carolina
Digital Twins for Radiation Oncology: Clinical Applications Jun Deng, PhD, FASTRO, Yale University
Session 3: Critical Appraisal of Data-Driven Studies

Monday, October 24 | 2:00 p.m. - 3:00 p.m.

Julian Hong, MD, MS, University of California

Topic Speaker(s)
AI Gone Wrong: How Do We Maximize Chances for Success and Fairness When Designing AI for the Clinic? Julian Hong, MD, MS, University of California
Evaluation, Surveillance and Continuous Updating of Clinical ML Algorithms Jean Feng, PhD, University of California
When Can Big Databases Help Us Make Treatment Recommendations? James Murphy, MD, MS, University of California
How to Evaluate Artificial Intelligence-based Radiotherapy Planning Approaches Q. Jackie Wu, PhD, Duke University
Critical Appraisal of Biomarker Studies and the Path to Clinical Impact Daniel Spratt, MD, Case Western Reserve University
Session 4: Text Mining and Processing in Radiation Oncology: An Untapped Resource

Tuesday, October 25 | 2:00 p.m. - 3:00 p.m.

John Kang, PhD, University of Washington

Topic Speaker(s)
NLP for Cohort Discovery and Registry Creation Danielle Bitterman, MD, Dana-Farber Cancer Institute and Brigham and Women's Hospital
NLP for Semantic Understanding of Medical Concepts Dongyang Zhang, MD, PhD, Eleka
NLP for Toxicity Prediction Julian Hong, MD, MS, University of California
NLP Pipeline, Added Value of Notes and Model Deployment in Practice Michael Gensheimer, MD, Stanford University

American Society for Radiation Oncology
251 18th Street South, 8th Floor
Arlington, VA 22202
Telephone: 703-502-1550


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